mlbdd

AuthorArlen Cox <arlencox@gmail.com>
LicenseMIT
Homepagehttps://github.com/arlencox/mlbdd
Issue Trackerhttps://github.com/arlencox/mlbdd/issues
MaintainerArlen Cox <arlencox@gmail.com>
Dependencies
ocamlfind
PublishedMay 14, 2017
Source [http] https://github.com/arlencox/mlbdd/archive/v0.6.tar.gz
3fd8e78e2f80e06f32d85222f23c640c
StatisticsInstalled 4 times last month.
Edithttps://github.com/ocaml/opam-repository/tree/master/packages/mlbdd/mlbdd.0.6/opam

A high performance BDD implementation in OCaml

The mlbdd library provides a simple, easy-to-use, easy-to-extend implementation of binary decision diagrams (BDDs) in OCaml. It is well tested and well documented. The library itself has no dependencies and is thus easy to include in applications that might, for example, be compiled with js_of_ocaml or other tools that rely on pure OCaml. It is also easier to integrate with existing projects due to its lack of dependencies.

Critically, this BDD implementation uses a garbage-collection-aware hashing scheme, so that unused nodes can be collected. Additionally, this implementation uses complement edges to significantly improve performance over the simplest BDD implementations.

Necessary for
setr